<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
XLS-R_timit_en
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3799
- Wer: 0.3019
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.5228 | 3.3 | 1000 | 0.9889 | 0.8394 |
| 0.6617 | 6.6 | 2000 | 0.3566 | 0.4027 |
| 0.3177 | 9.9 | 3000 | 0.3112 | 0.3606 |
| 0.2262 | 13.2 | 4000 | 0.3521 | 0.3324 |
| 0.1683 | 16.5 | 5000 | 0.3563 | 0.3260 |
| 0.137 | 19.8 | 6000 | 0.3605 | 0.3149 |
| 0.1139 | 23.1 | 7000 | 0.3768 | 0.3069 |
| 0.1068 | 26.4 | 8000 | 0.3643 | 0.3044 |
| 0.0897 | 29.7 | 9000 | 0.3799 | 0.3019 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.12.1+cu113
- Datasets 1.18.3
- Tokenizers 0.13.0
